This section shows the main steps that have been applied to pre-process the raw data.
The CDOM spectra were modeled according to the information in Babin 2003.
acdom spectra were re-fitted using the complete data (i.e. between 350-500 nm) because the data in all_abs_transpose.txt started at 380 nm.Average background values calculated between 683-687 nm and subtracted from each spectra.
Some files were in binary format, so I could not open them (ex.: C2001000.YSA).
Some spectra start at 300 nm while others at 350 nm.
Calculated the correlation between the measured and the fitted values.
Exported the complete spectra (350-700 nm): both the raw and the modeled data.
Ed, Eu, Kd, Ku). I have cleaned the data by setting these negative values to NA.This graph shows the number of negative values for Ed by wavelength.
Eu is in fact Eu0- that was estimated estimated using a two-exponential function model.
Ed is in fact Ed0- calculated from 0.94 x ed0+.
NA.Negative values in a, c, bp, a_dissolved and c_dissolved have been set to NA.
a(715) was used as baseline, that is why the values are always at 0 (see next graph).
DOC, AQY) from Massimo 2000.Just some graphs to visualize the data. Note that the same color palette will be used to represent the areas in all graphics.
There is a total of 424 different stations that were sampled during the COASTLOOC expeditions.
C2001000, C2002000.This graph shows an overview of the available variables (excluding radiometric measurements).
Overview of the averaged absorption spectra for each area.
Comparing acdom443 for the different areas shows that there is a clear open to coastal gradient.
We can see that the DOC follows the same pattern as acdom443.
We can also use scatter-plots to further explore the relationships among variables.
Relationships between some pigments.
We could also assess the goodness of the relationships between total chlorophyll-a and phytoplankton absorption for each region.